Visual Analytics in Dental Aesthetics

Aleksandr Amirkhanov, Matthias Bernhard, Alexey Karimov, Sabine Stiller, Andreas Geier, Meister Eduard Gröller, Gabriel Mistelbauer
Visual Analytics in Dental Aesthetics
Computer Graphics Forum, 39(7):635-646, 2020.

Information

  • Publication Type: Journal Paper with Conference Talk
  • Workgroup(s)/Project(s): not specified
  • Date: 2020
  • DOI: https://doi.org/10.1111/cgf.14174
  • Journal: Computer Graphics Forum
  • Number: 7
  • Pages (from): 635
  • Pages (to): 646
  • Volume: 39
  • Pages: 635–646
  • Keywords: Applied computing -> Life and medical sciences, Human-centered computing -> Visualization application domains

Abstract

Dental healthcare increasingly employs computer-aided design software, to provide patients with high-quality dental prosthetic devices. In modern dental reconstruction, dental technicians address the unique anatomy of each patient individually, by capturing the dental impression and measuring the mandibular movements. Subsequently, dental technicians design a custom denture that fits the patient from a functional point of view. The current workflow does not include a systematic analysis of aesthetics, and dental technicians rely only on an aesthetically pleasing mock-up that they discuss with the patient, and on their experience. Therefore, the final denture aesthetics remain unknown until the dental technicians incorporate the denture into the patient. In this work, we present a solution that integrates aesthetics analysis into the functional workflow of dental technicians. Our solution uses a video recording of the patient, to preview the denture design at any stage of the denture design process. We present a teeth pose estimation technique that enables denture preview and a set of linked visualizations that support dental technicians in the aesthetic design of dentures. These visualizations assist dental technicians in choosing the most aesthetically fitting preset from a library of dentures, in identifying the suitable denture size, and in adjusting the denture position. We demonstrate the utility of our system with four use cases, explored by a dental technician. Also, we performed a quantitative evaluation for teeth pose estimation, and an informal usability evaluation, with positive outcomes concerning the integration of aesthetics analysis into the functional workflow.

Additional Files and Images

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Weblinks

BibTeX

@article{amirkhanov2020visual,
  title =      "Visual Analytics in Dental Aesthetics",
  author =     "Aleksandr Amirkhanov and Matthias Bernhard and Alexey
               Karimov and Sabine Stiller and Andreas Geier and Meister
               Eduard Gr\"{o}ller and Gabriel Mistelbauer",
  year =       "2020",
  abstract =   "Dental healthcare increasingly employs computer-aided design
               software, to provide patients with high-quality dental
               prosthetic devices. In modern dental reconstruction, dental
               technicians address the unique anatomy of each patient
               individually, by capturing the dental impression and
               measuring the mandibular movements. Subsequently, dental
               technicians design a custom denture that fits the patient
               from a functional point of view. The current workflow does
               not include a systematic analysis of aesthetics, and dental
               technicians rely only on an aesthetically pleasing mock-up
               that they discuss with the patient, and on their experience.
               Therefore, the final denture aesthetics remain unknown until
               the dental technicians incorporate the denture into the
               patient. In this work, we present a solution that integrates
               aesthetics analysis into the functional workflow of dental
               technicians. Our solution uses a video recording of the
               patient, to preview the denture design at any stage of the
               denture design process. We present a teeth pose estimation
               technique that enables denture preview and a set of linked
               visualizations that support dental technicians in the
               aesthetic design of dentures. These visualizations assist
               dental technicians in choosing the most aesthetically
               fitting preset from a library of dentures, in identifying
               the suitable denture size, and in adjusting the denture
               position. We demonstrate the utility of our system with four
               use cases, explored by a dental technician. Also, we
               performed a quantitative evaluation for teeth pose
               estimation, and an informal usability evaluation, with
               positive outcomes concerning the integration of aesthetics
               analysis into the functional workflow.",
  doi =        "https://doi.org/10.1111/cgf.14174",
  journal =    "Computer Graphics Forum",
  number =     "7",
  volume =     "39",
  pages =      "635–646",
  pages =      "635--646",
  keywords =   "Applied computing -> Life and medical sciences,
               Human-centered computing -> Visualization application
               domains",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/amirkhanov2020visual/",
}